I would like to upgrade from "networkx 2.4" to "networkx 2.2". How to do this using python's pip command? Thank you
You can force a specific version with the == operator. pip should automatically uninstall the current version you have installed and install the older version:
pip install networkx==2.2
Installed miniconda on raspbian OS following link
but ended up with error while installing python 3.6 as specified in the answer.
Error: No packages found in current linux-armv7l channels matching: python 3.6*
Did you mean one of these?
python
You can search for this package on anaconda.org with
anaconda search -t conda python 3.6*
This command returns No packages found
anaconda search -t conda python3.6
How to solve this issue?
How to install TensorFlow on Python 3.7
Trying:
D:\Users\Downloads>pip install tensorflow
ERROR: Could not find a version that satisfies the requirement tensorflow (from versions: none)
ERROR: No matching distribution found for tensorflow
Windows 10 OS
And with vent error, too
(venv) C:\Users\KvaksManYT>pip install --upgrade tensorflow
ERROR: Could not find a version that satisfies the requirement tensorflow (from versions: none)
ERROR: No matching distribution found for tensorflow
I would recommend using a virtual environment using pip install vitualenv. Then, depending on your OS, you want to create and activate an environment.
python3 -m venv /path/to/new/virtual/environment
Then, activate this environment using,
source ./venv/bin/activate
Now, you can install any Python packages you want.
pip install tensorflow==2.0.0
you can install Tensorflow follow those steps
Ubuntu/Linux /mac os /windows
virtualenv does not require a mention pip version
for system install, you need to mention pip version
upgrade pip version
pip install --upgrade pip
#virtualenv install
pip install --upgrade tensorflow
#system install
pip3 install --user --upgrade tensorflow
reference https://www.tensorflow.org/install/pip
I had the same problem with Windows 10 x64, and it was caused because I was using the wrong Python version, both globally and in the venv. I found questions on the issue multiple times on the internet, including yours.
Be sure to use Python versions 3.5-3.8, as per requirements, but also x64, not x32.
Namely, I ran into this error using both
a venv with 3.9.1 x64 (python --version),
and my globally installed 3.8.2 x32 (python3 --version).
So, I downloaded the x64-version of Python 3.8.6 from here.
Note that the command venv does not allow specifying the python version used in the virtual environment,
as per an answer on this question. So I used virtualenv, which I obviously had to install in my global Python version first.
To specify the Python version used in the venv, I used the command virtualenv, as in:
virtualenv --python="C:\Users\me\AppData\Local\Programs\Python\Python38\python.exe myvenv
where you have to give the path to the newly downloaded Python distribution you want to use, if there are several on your PC (for example, I had Python38-32 and Python39 folders in that directory).
Check Python versions in virtual environment
After I activate my myvenv, created as above, I verify the Python versions as follows:
python3 --version
> Python 3.8.2
python --version
> Python 3.8.6
Then, using the command
import struct
print(struct.calcsize("P") * 8)
Within either python3 or python, shows me whether the version is 32bit or 64bit, as per this answer. The python returns a 64, so that is the one you want to use (not python3).
Finally, within the virtual environment, you can run
pip install --upgrade tensorflow
and it will download and install. (Meanwhile, pip3 install --upgrade tensorflow would still return your error inside and outside the virtual enviroment.)
Image of python versionI have installed anaconda and installed python 3.7.0 version in that and trying to install xgboost for python, it is showing "Solving environment" for a long time nothing is done yet. Can anyone tell me what can be done for this, please?
Can you try installing with the following:
conda install -c conda-forge xgboost
Looks like there is a similar question here:
conda install -c conda-forge python-pdal Solving environment: | hangs when running windows 10
When trying to import SkewT into my python3 code on a Mac (Mojave 10.14.6):
from metpy.plots import SkewT
I get the error:
ModuleNotFoundError: No module named 'cartopy'
pip3 install cartopy gives the output
Collecting cartopy
Downloading https://files.pythonhosted.org/packages/e5/92/fe8838fa8158931906dfc4f16c5c1436b3dd2daf83592645b179581403ad/Cartopy-0.17.0.tar.gz (8.9MB)
|████████████████████████████████| 8.9MB 616kB/s
Installing build dependencies ... done
Getting requirements to build wheel ... error
ERROR: Complete output from command /usr/local/opt/python/bin/python3.7 /usr/local/lib/python3.7/site-packages/pip/_vendor/pep517/_in_process.py get_requires_for_build_wheel /tmp/tmpj50b1vfe:
ERROR: setup.py:171: UserWarning: Unable to determine GEOS version. Ensure you have 3.3.3 or later installed, or installation may fail.
'.'.join(str(v) for v in GEOS_MIN_VERSION), ))
Proj 4.9.0 must be installed.
----------------------------------------
ERROR: Command "/usr/local/opt/python/bin/python3.7 /usr/local/lib/python3.7/site-packages/pip/_vendor/pep517/_in_process.py get_requires_for_build_wheel /tmp/tmpj50b1vfe" failed with error code 1 in /private/tmp/pip-install-b5cu8485/cartopy
To start, I tried to install Proj and geos, but pip3 only lists version 0.1.0 for proj and 0.2.2 for geos. Before I get too far down this rabbit hole, I thought I'd see if anyone else has encountered this problem. Thanks!
So it looks like MetPy 0.10 accidentally picked up a hard dependency on CartoPy, which we did not really plan. You can track our resolution of that here.
CartoPy depends on a lot of compiled libraries that are not pip-installable unfortunately. Your best bet is to look at CartoPy's install instructions. If you're using Anaconda or Canopy, those distributions have pre-built CartoPy packages available.
One option to work around this is to install MetPy 0.9:
pip install metpy==0.9
Do you use Conda? The easiest way to remedy this problem is to install CartoPy (or MetPy for that manner) via conda, so that all of the right dependencies are also downloaded: conda install -c conda-forge cartopy or conda install -c conda-forge metpy. Pip doesn't bring all of them together, so that leads to this problem being raised.
Thanks. Without conda, I was also able to complete this (more painful) installation:
- brew install geos
- brew install proj
- pip3 install cython
- pip3 install git+https://github.com/SciTools/cartopy.git#master
(see http://louistiao.me/posts/installing-cartopy-on-mac-osx-1011/)